{"id":"W6920445417","doi":"10.6068/dp14ba89c2b4273","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with income by total income, sex and age group | Variable: 75 years and over, Persons with income of $100,000 and over, Both sexes | Units: #, 2000-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Socioeconomic status; Residence; Population statistics; Social statistics; Neighbourhood (mathematics); Economic statistics; Demographic statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006340937,0.001226011,0.001598618,0.0006908355,0.000454679,0.0006844036,0.0004432553,0.0005923131,0.0001377647],"category_scores_gemma":[0.00006141942,0.001152643,4.572921e-7,0.0009948292,0.001059427,0.001048556,0.0006627936,0.0008351586,1.869585e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229497,"about_ca_system_score_gemma":0.00179247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988773,"about_ca_topic_score_gemma":0.9970654,"domain_scores_codex":[0.9946301,0.0004156652,0.0009796853,0.001805458,0.001268624,0.0009004407],"domain_scores_gemma":[0.9959712,0.0006249045,0.001137301,0.001222868,0.00005233903,0.0009913973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002805462,0.00006241029,0.2978599,0.0009723707,0.0005806236,0.0001581314,0.00001551824,0.00001176308,0.000003691619,0.0001125154,0.6998388,0.0001036828],"study_design_scores_gemma":[0.00509904,0.0005998029,0.1312719,0.00042535,0.002012875,0.001600596,0.0004649303,0.00736473,1.562134e-8,0.000003135357,0.8491969,0.001960747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007339323,0.007886629,0.00001033585,8.305689e-7,0.0001101575,0.001359163,0.9830909,0.00008991425,0.0001127527],"genre_scores_gemma":[0.01686006,0.001813556,0.001009784,0.00003504549,0.00005397429,0.00003056448,0.9796106,0.0003772831,0.0002090958],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.166588,"threshold_uncertainty_score":0.9990923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029048479028851,"score_gpt":0.2270244014467366,"score_spread":0.216733916656448,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}